识别较大图像/照片中的标记
我的总体目标是在受控的类似博物馆的环境中识别相似的、反光的和低纹理的单色物体。这些物品设计精良且具有视觉吸引力。
据我了解，当我查看当代的物体和图像识别软件（例如护目镜、kooaba、tineye 等）时，这个目标太高了。
所以我正在考虑在物体上放置小标记并识别标记。 为了使用 AR 跟踪软件，标记必须是黑/白且丑陋的。这会破坏我想要识别的物体的视觉外观。
您知道有什么软件可以识别照片中的（任意设计/视觉上吸引人的）标记吗？
或者;您认为这可以通过适用于 iOS/android 设备的 openCV 来实现吗？
my overall goal is recognition of similar, reflective and low-textured monochrome objects in a controlled museum-like-environment. These objects are well designed and visually appealing.
For my understanding this goal is too high aimed when i look at contemporary object and image recognition software like goggles, kooaba, tineye etc..
So i was thinking of placing little markers on the objects and identify the markers.
In order to employ AR tracking software the markers need to be black/white and ugly. That would spoil the visual appearance of the objects i'd like to identify.
Do you know of any software that recognizes (arbitrary designed / visually appealing) markers in photographs?
Or; do you think this can be accomplished with openCV for iOS/android devices?
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您已经指出了护目镜、kooaba 等的主要问题：相似性、反射、低纹理区域。
是的：护目镜、kooaba、tineye 等
也就是说，只要您的“任意设计/视觉上吸引人”的标记有纹理，不要太相似并且不会反射。
例如，如果您的场景是在博物馆中，玻璃后面有黑白低纹理的类似物体的图像，并且您不介意在图像旁边放置彩色标记，请尝试动物的图片（类似漫画等）。 ..通过现代图像识别设置，您可以使用这些图片作为标记。或者像信息台一样放在物体旁边，上面有一些标记。
You already name the major problems for goggles,kooaba,etc.: similarity, reflections, low-textured areas.
Yes: goggles, kooaba, tineye etc
That is, as long as your "arbitrary designed / visually appealing" markers are textured, not too much similar and don´t reflect.
For example, if your scenario is in a museum with images of black/white low-textured similar objects behind glass and you don´t mind putting a colored marker next to the image, try pictures of animals (comic-like or so)... with a modern image recognition setup you can use these pictures as markers. Or put up like an information stand next to the object, which has some marker on it.